Letter to the editor: Generation interval for COVID-19 based on symptom onset data.

Bacallado, Sergio; Zhao, Qingyuan; Ju, Nianqiao

Bacallado, Sergio; Zhao, Qingyuan; Ju, Nianqiao.

Bacallado S; Statistical Laboratory, University of Cambridge, Cambridge, United Kingdom.
Zhao Q; Statistical Laboratory, University of Cambridge, Cambridge, United Kingdom.
Ju N; Department of Statistics, Harvard University, Cambridge, MA, United States.

Euro Surveill ; 25(29)2020 07.

Article in English | MEDLINE | ID: covidwho-688702

Subject(s)

Coronavirus Infections; Coronavirus; Pandemics; Pneumonia, Viral; Betacoronavirus; COVID-19; Humans; SARS-CoV-2

Keywords

COVID-19; generation intervals; infection network; markov chain monte carlo; pre-symptomatic transmission

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Coronavirus / Pandemics Limits: Humans Language: English Journal subject: Communicable Diseases Year: 2020 Document Type: Article Affiliation country: 1560-7917.ES.2020.25.29.2001381

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